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Bart Multinews Model
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Bart Multinews Model
Developed by usakha
This is a text summarization model trained on the multi_news dataset, capable of generating concise summaries from multi-document inputs.
Downloads 18
Release Time : 6/26/2023
Model Overview
This model is specifically designed for multi-document summarization tasks, capable of processing multiple related news documents and generating coherent summaries.
Model Features
Multi-document summarization
Capable of processing multiple related documents and generating coherent summaries
Efficient training
Utilizes mixed-precision training to improve training efficiency
Standardized evaluation
Evaluated using standard metrics such as BLEU and ROUGE
Model Capabilities
Multi-document text summarization
Long text processing
Use Cases
News aggregation
News summary generation
Generates concise summaries for multiple related news reports
ROUGE-1 score approximately 0.153, ROUGE-2 score approximately 0.057
Information retrieval
Search result summarization
Generates unified summaries for multiple related documents returned by search
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